iPhone 13 Pro
Geekbench AI Score
3124
Single Precision Score
20252
Half Precision Score
22246
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 07 2025 10:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.0 IPS |
|
|
Image Classification (HP)
|
100% |
8998
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
10549
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13323
216.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15381
249.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5771
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
79387
92.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
82891
97.2 IPS |
|
|
Object Detection (SP)
|
100% |
1343
106.5 IPS |
|
|
Object Detection (HP)
|
99% |
11667
928.1 IPS |
|
|
Object Detection (Q)
|
91% |
12108
967.5 IPS |
|
|
Face Detection (SP)
|
100% |
2589
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
26462
314.4 IPS |
|
|
Face Detection (Q)
|
100% |
33468
397.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5139
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
57658
444.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
66018
515.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16892
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
152138
195.6 IPS |
|
|
Style Transfer (Q)
|
96% |
145866
188.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3598
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28862
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31237
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2450
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6423
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7392
127.7 IPS |
